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Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth Apply via Cleantech Talent This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

🧠 Data Scientist: Machine Learning & Python Specialist 🐍 Python Developer Location : London Work mode : Onsite Experience: 2–5 years UK based candidates only - CITIZEN & DEPENDENTS We are seeking an innovative and results-driven Data Scientist with a strong focus on Machine Learning and deep proficiency in Python. You will be instrumental in transforming complex data into actionable insights, building predictive models, and driving business strategy using cutting-edge analytical techniques. This role is for a hands-on individual who is excited to move models from the lab into production. Key Responsibilities • Model Development & Implementation: Design, develop, train, validate, and deploy advanced Machine Learning models (e.g., classification, regression, clustering, deep learning) to solve complex business problems., • Data Wrangling & Analysis: Perform comprehensive Exploratory Data Analysis (EDA), data cleaning, feature engineering, and transformation on large, complex, and sometimes unstructured datasets., • Coding & Automation: Write production-quality, highly efficient, and scalable code primarily in Python for data processing, analysis, and model creation., • Experimentation & Optimization: Conduct A/B testing, hypothesis testing, and rigorous model validation, continually iterating and tuning algorithms to maximize performance, accuracy, and efficiency., • Collaboration & Communication: Work closely with cross-functional teams (e.g., product managers, engineers, business stakeholders) to define project scope, interpret model results, and clearly present data-driven recommendations to both technical and non-technical audiences., • Deployment & MLOps: Collaborate with ML/Data Engineers to deploy, monitor, and maintain ML models in a production environment, ensuring stability and performance over time. Required Skills and Qualifications Technical Expertise (The Core) • Programming: Expert proficiency in Python and its core data science libraries: Pandas, NumPy, and SciPy., • Machine Learning: Deep, practical experience with popular ML frameworks and libraries: scikit-learn, TensorFlow, or PyTorch., • Statistics & Math: Strong foundation in statistical modeling, probability, hypothesis testing, regression analysis, and multivariate calculus/linear algebra for understanding model mechanics., • Databases & Querying: Proficiency in SQL for extracting, manipulating, and preparing data from relational databases. Experience with NoSQL databases is a plus., • Big Data/Cloud: Experience with big data tools (Spark, Hadoop) and cloud computing platforms (AWS, Azure, or GCP) for scalable ML workflows., • Bachelor's or Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related quantitative field., • [Number] years of professional experience as a Data Scientist or in a highly quantitative role. Soft Skills (Your X-Factor) • Curiosity: A strong passion for data and an inherent curiosity to explore, question, and challenge assumptions., • Problem-Solving: Excellent analytical and structured thinking skills to tackle complex, ambiguous business problems., • Storytelling: The ability to translate complex statistical and ML outputs into simple, business-relevant narratives and recommendations.

Senior Applications Engineer - Connect Fibre Working from Home £65,000 per annum plus benefits The Company Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing fibre broadband business with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. The Role • Design, develop, test and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Lead development projects through the entire lifecycle and mentor junior engineers., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements & best practices to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. The Candidate A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • 5+ years in software development or application development., • Strong skills in at least one programming language - Javascript, Python, PHP., • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus., • Experience with Wordpress and WooCommerce would be beneficial., • Familiarity with software development methodologies (Agile, Scrum, Devops etc.) and version control., • Experience of Cloud infrastructures Azure or AWS., • Working experience of API and REST API integrations., • Strong analytical and problem-solving skills to identify and mitigate development risks effectively., • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential., • Knowledge of geopandas, numpy, node or SQL is desirable but not essential., • Experience with GIT and Docker processes., • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders., • Strong problem solving skills and leadership abilities. Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. The Rewards • Salary: £65,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package, • Influence key transformation projects, including OSS integrations and a new eCommerce platform, in a growing UK broadband business., • Flexible remote or hybrid working, with regular in‑person workshops and very occasional team meetings in London to support collaboration and alignment. Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

🚀 Senior Full-Stack Engineer – TypeScript / React / AWS 💰 Up to £90,000 + Equity | Fully Remote (UK) 💻 Tech Stack: TypeScript, Node.js, React.js, AWS ✅ Backend lean We’re on the hunt for a hands-on Senior Engineer to join a fast-moving team delivering real, production grade systems. This isn’t R&D or proof-of-concept work, they’re shipping cloud-native, AI-enabled products that customers actually use. 🔹 About You • 6–8 years’ experience ideally, • TypeScript, React, Node.js with a backend lean, • Must have Event Driven Architecture experience, • AWS experience, • Bonus: React Native 🔹 What You’ll Do • Build event-driven microservices & APIs, • Develop modern, scalable React UIs, • Ship cloud-native systems on AWS, • Collaborate with product & AI specialists to turn ideas into features, • Champion clean, testable, reliable code 🔹 Why Join • Hands-on role with real ownership, • Work with modern cloud architecture & AI products, • Fully remote, but part of a high-performing, collaborative team 📩 Interested? Send over your CV + notice period. 🚀 Senior Full-Stack Engineer – TypeScript / React / AWS

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

Principal Data Platform Engineer Java, Kafka, AWS Remote (UK‑based) Permanent – Up to £130,000 + Benefits Security Clearance Requirement For this role, you must be eligible for SC Clearance. Due to the secure nature of the work, this requires British Citizenship, as some data is UK Eyes Only. Overview We are seeking an experienced Principal Data Platform Engineer to play a key technical leadership role within a high‑impact programme delivering secure, scalable, real‑time data platforms for critical UK Government and national infrastructure clients. This is a hands on senior engineering role with significant responsibility for technical direction, architecture design, client assurance, and mentoring. You will work closely with both internal teams and client stakeholders, helping shape solutions from early concept through to production delivery. The Role As a Principal Data Platform Engineer, you will provide technical leadership across multiple data platform initiatives, designing and assuring highly available, low‑latency, and scalable batch and real‑time data solutions. You will act as a trusted technical authority, engaging directly with clients, producing high‑quality architecture designs, and ensuring proof‑of‑concept solutions are robust, secure, and production‑ready. Key Responsibilities • Lead the design and delivery of complex batch and real‑time data pipelines and backend services, • Produce high‑level and low‑level architecture designs, ensuring alignment with security, scalability, and performance requirements, • Provide technical assurance for solution designs and proof‑of‑concepts prior to production implementation, • Act as a client‑facing technical lead, working alongside customer teams to define requirements, shape solutions, and build confidence, • Mentor and coach Lead and Senior Engineers, setting technical standards and raising overall engineering capability, • Drive and promote best engineering practices, including TDD, CI/CD, DevOps, and clean, maintainable code, • Influence technology choices and architectural patterns across the data platform estate, • Collaborate with architects, analysts, security specialists, and testers in Agile / BDD environments, • Oversee services in production, ensuring resilience, performance, and operational excellence, • Contribute to technical strategy, estimation, delivery planning, and roadmap definition, • Champion continuous improvement across data platform tooling, processes, and ways of working Required Experience • Extensive commercial experience with Java in production environments, • Strong experience designing and building Kafka‑based streaming platforms, • Hands‑on experience with Spark, Flink, Kafka Streams, or similar technologies, • Experience with Spring Boot and/or Python, • Deep experience working with AWS, including services such as Lambda, S3, and cloud‑native architectures, • Experience integrating with data stores such as PostgreSQL, Redis, or similar, • Strong understanding of data pipelines, data modelling, and distributed systems, • Proven experience leading technical designs and mentoring engineers, • Comfortable working in client‑facing roles, explaining complex technical concepts clearly, • Strong background in Agile, DevOps, and modern software delivery practices Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Infrastructure‑as‑Code tools such as Terraform, Ansible, or Packer, • CI/CD tooling such as Jenkins, Drone, or similar, • Experience working within highly secure or regulated environments The Company You will be joining a UK‑based SME (circa 300 people) that designs, builds, and integrates highly secure data platforms for UK Government and national infrastructure clients. Teams work in integrated, collaborative environments, partnering closely with clients and internal subject‑matter experts. The organisation is known for its high technical standards, strong engineering culture, and genuinely supportive working environment. What’s on Offer • Fully remote working (UK‑based) for security reasons, • Competitive £130,000 salary plus benefits, • Opportunity to work on nationally critical systems, • Access to exceptionally talented engineers and architects, • A role with real technical influence and long term impact If this role is of interest, please apply.

🚀 Global brand hiring: Senior AWS / Full Stack Engineer - 12 month contract - Remote/UK based🚀 I’m looking to connect with experienced engineers who thrive in cloud-native environments and enjoy building scalable, data-driven applications. 🔧 What we’re looking for: • 5+ years working with AWS services including Aurora, Postgres, Redshift, S3, DynamoDB, CloudFront, SES, API Gateway, Step Functions, EventBridge, and SAM/CloudFormation, • Strong SQL programming expertise, • Experience with NestJS and modern front-end development (JavaScript, HTML, CSS), • Familiarity with GitLab (or similar) and CI/CD workflows, • Proven track record optimizing data storage, retrieval, performance, and cost efficiency, • Experience integrating data from APIs, databases, and streaming platforms into centralized systems (data lakes / warehouses), • Hands-on experience with serverless architectures, DevOps practices, containers, and cloud security 🔐 Bonus points for: • Advanced knowledge of data security best practices (encryption, IAM, access controls), • Strong collaboration skills across engineering, product, and business teams, • Solid understanding of SDLC, testing, and cloud-based delivery 💡 This role is ideal for someone who enjoys solving complex problems, working with modern cloud architectures, and contributing to high-impact systems.

🚀 Global brand hiring: Senior AWS / Full Stack Engineer - 12 month contract - Remote/UK based🚀 I’m looking to connect with experienced engineers who thrive in cloud-native environments and enjoy building scalable, data-driven applications. 🔧 What we’re looking for: • 5+ years working with AWS services including Aurora, Postgres, Redshift, S3, DynamoDB, CloudFront, SES, API Gateway, Step Functions, EventBridge, and SAM/CloudFormation, • Strong SQL programming expertise, • Experience with NestJS and modern front-end development (JavaScript, HTML, CSS), • Familiarity with GitLab (or similar) and CI/CD workflows, • Proven track record optimizing data storage, retrieval, performance, and cost efficiency, • Experience integrating data from APIs, databases, and streaming platforms into centralized systems (data lakes / warehouses), • Hands-on experience with serverless architectures, DevOps practices, containers, and cloud security 🔐 Bonus points for: • Advanced knowledge of data security best practices (encryption, IAM, access controls), • Strong collaboration skills across engineering, product, and business teams, • Solid understanding of SDLC, testing, and cloud-based delivery 💡 This role is ideal for someone who enjoys solving complex problems, working with modern cloud architectures, and contributing to high-impact systems. 📩 Interested or know someone who might be a great fit? Drop me an email with your CV to or comment below!

A fast-growing, product-focused tech business is looking for a Principal / Lead Software Engineer to guide a skilled engineering team based in Nottingham. This is a primarily on-site role, with some hybrid flexibility, ideal for someone who enjoys hands-on leadership in a collaborative, in-person environment. You’ll guide the development of features and systems across web apps, APIs, and internal tools, working closely with product, design, and engineering teams to bring high-impact ideas to life. You'll combine technical direction with day-to-day coding, team mentorship, and delivery oversight, playing a key role in shaping both the product and the team’s growth. Salary: £80,000 to £95,000 + benefits Location: Nottingham, Hybrid Key Responsibilities • Lead the design and build of new product features, services, and technical systems, • Own features end-to-end—from technical design to testing, deployment, and monitoring, • Write production-grade code alongside the team (this is a hands-on role), • Align technical delivery with business goals through close collaboration with stakeholders, • Mentor and support developers, fostering a culture of learning and improvement, • Maintain high standards for code quality, scalability, and team communication What You’ll Bring • 7+ years’ experience in software engineering, including recent time in a senior or lead role, • Strong experience with Node.js (NestJS) and TypeScript, • A good knowledge of a Front End framework like Vue, React or Angular., • Solid understanding of cloud infrastructure (preferably AWS) and CI/CD practices, • A thoughtful approach to system design, security, and performance at scale, • Great communication and stakeholder engagement skills, • Bonus points for experience with AI/ML tools or data-led platforms Tech Stack Overview • Backend: NestJS / Node.js / TypeScript, • Frontend: Vue 3 / TypeScript, • Cloud: AWS, • Databases: PostgreSQL / MongoDB, • Tools: Rush (monorepo), GitHub, Notion, Linear, • Comms: Slack, Zoom, Around If you're a seasoned engineer who thrives in a leadership role and enjoys building great products with great people, we’d love to hear from you. Apply now or get in touch to find out more.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

AWS Solution Architect Location: London / Leeds / Manchester Salary: £70,000 – £90,000 + package + DV allowance About the Role Our client is a major force in the UK’s cyber and national security landscape, delivering complex, high-impact programmes across government and defence. They are hiring an AWS Solution Architect to lead cloud migration and architecture across large-scale, mission-critical environments. This is a hands-on architecture role where you will define how AWS is used from the ground up, shaping patterns, standards and long-term cloud strategy. You will work directly with customers to design cloud-native solutions, ensuring migrations are not just successful, but scalable, secure and built for reuse. This is a key hire with real influence across architecture, engineering and stakeholder decision-making. What You’ll Be Doing You will operate as the technical lead across AWS migration and platform architecture. • Leading architecture for AWS cloud migration, from current state through to target design, • Defining reusable cloud patterns, standards and reference architectures, • Working closely with engineering teams to ensure solutions are scalable, secure and cost-effective, • Driving Infrastructure as Code and automation across deployments, • Running architecture reviews and continuously optimising platform design, • Acting as the escalation point for complex technical issues and incident management, • Collaborating across multiple teams to ensure consistency and alignment in delivery Ideal Background This role is suited to someone already operating at senior or lead architect level within AWS environments. • Strong experience designing AWS cloud architectures in large, multi-account environments, • Proven track record delivering cloud migration programmes, • Deep understanding of AWS services, networking and security, • Experience with DevOps tooling and CI/CD pipelines, • Comfortable working in Agile environments and leading technical direction, • Ability to engage and influence both technical teams and senior stakeholders Nice to have: • AWS certifications (Associate, Professional or Specialist), • Experience mentoring engineers or leading teams, • Exposure to scaled Agile frameworks (SAFe, Scrum@Scale) What You’ll Receive • £70,000 – £90,000 base salary, • £7,000 DV bonus (tax free) once clearance is obtained, • Strong pension, bonus and flexible benefits package, • 25 days holiday with buy/sell options, • Clear progression with structured career support, • Opportunity to work on high-security, high-impact programmes Key Requirements • Must be a sole British national (DV clearance eligibility), • Willing to go through Developed Vetting (DV), • Comfortable with hybrid working (typically 3 days on-site) Who Should Apply This is a strong fit for architects who want to move into more complex, high-stakes environments, where the scale, security requirements and architectural challenges are significantly beyond typical commercial projects.

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Role: DevOps Manager Location: Remote - UK-based preferred Salary: Up to £70k plus benefits Your mission, should you choose to accept it, is to take full control of the build, release, and deployment landscape for a suite of Java-based enterprise applications. You'll be the one making sure everything flows as it should-from code commit through to deployment- smoothly, reliably, and without drama. Pipelines breaking? Fix them. Builds taking too long? Speed them up. Manual processes creeping in? Automate them away. You'll be working closely with developers, QA, and project teams, but this is very much a hands-on role where you'll have the freedom to own the DevOps space and shape how things are done. The environment you're stepping into is a well-established software house with a strong Java focus. There's a solid foundation in place, but plenty of opportunity to improve, optimise, and modernise how things are done-especially around automation, documentation, and future cloud strategy. Day to day, you'll be getting stuck into things like: Building and refining CI/CD pipelines for Java applications Integrating IBM EWM/RTC into automated workflows Maintaining and improving scripts that handle server installs and upgrades Embedding code quality checks through SonarQube Managing Maven-based builds and release processes Packaging and deploying applications into Wildfly and SQL Server environments Working with engineers to remove bottlenecks in the delivery process Documenting everything clearly so nothing lives only in your head The tech for this mission is: Java & Maven IBM EWM / RTC CI/CD tooling (Jenkins, GitHub Actions, GitLab CI) SonarQube InstallAnywhere Wildfly & Microsoft SQL Server Scripting (Bash, Python, Groovy) There's also a bit of a “what next?” element to this role. If you've got experience (or interest) in Docker, Kubernetes, cloud platforms (AWS/Azure/GCP), or Infrastructure as Code, you'll have the chance to influence where things go next- particularly as the business looks at evolving its infrastructure. This is one of those roles where you won't be buried in tickets all day. You'll have the space to step back, look at the bigger picture, and improve systems properly- not just patch over cracks. If something's inefficient, you fix it. If something's missing, you build it. You'll need to be someone who genuinely enjoys making systems better. Someone who spots problems before they become problems, and takes pride in clean, reliable, well-documented solutions. It's a fully remote setup, flexible, and built around trust. No micromanagement, no unnecessary noise—just a team focused on building solid software properly. If you like the idea of owning the DevOps function and making a real impact across how software is delivered, this could be right up your street. If this sounds like it was made for you, get in touch and let's have a chat about your next move. This advert will self-destruct in 5, 4, 3, 2, 1… BOOM We welcome diverse applicants and are dedicated to treating all applicants with dignity and respect, regardless of background. TPBN1_UKTJ

SMART BUILDINGS BMS ENGINEER (INTEGRATION / IoT FOCUS) £40,000–£80,000 + expenses | Remote Are you a BMS Engineer who enjoys working at the intersection of building systems, data, and modern technology? Do you want to go beyond traditional controls work and play a key role in connecting buildings to the cloud, enabling smarter, more efficient energy performance? This a fast-growing energy-tech business looking for a Smart Buildings BMS Engineer with strong integration and IT awareness to deliver end-to-end projects across commercial buildings. THE ROLE • Carry out site surveys, scope upgrades, and plan smart building integrations, • Install and configure BMS hardware: controllers, sensors, field devices, and panels, • Integrate HVAC, metering, and building systems using BACnet, Modbus, KNX, MQTT, • Connect building systems to cloud platforms via APIs, gateways, and IP networks, • Commission systems including Niagara 4, Trend IQVision, Siemens PX, Distech, • Troubleshoot data flow, connectivity, and system performance issues, • Structure and validate building data to support analytics and optimisation, • Work independently across multiple sites, delivering high-quality technical outcomes WHY JOIN? • Work at the forefront of smart buildings, IoT, and energy optimisation, • Combine hands-on engineering with modern data and integration work, • End-to-end ownership — from survey through to live system performance, • Exposure to cloud platforms, APIs, and advanced building analytics, • Join a high-growth, forward-thinking team shaping the future of building tech, • Clear progression into technical lead / integration specialist roles THE PROFILE • Strong BMS background (installation, commissioning, or integration), • Experience with Tridium Niagara, Trend, Siemens, Distech or similar, • Solid understanding of building protocols (BACnet, Modbus, KNX), • Comfortable working with IP networks, gateways, and system connectivity, • Exposure to MQTT, APIs, JSON, or cloud platforms (AWS or similar) highly desirable, • Electrical background beneficial (NVQ Level 3 / 18th Edition preferred, not essential), • Proactive, organised, and comfortable working independently in a fast-moving environment, • Willing to travel across the UK as required PACKAGE £40,000–£80,000 DOE Remote with UK-wide travel | Full-time or contract Immediate / flexible start Expenses covered

AI Engineer (Remote, UK-based) About the Company We’re an AI-driven technology company building solutions that help organisations resolve complex issues—before they become costly or high-risk. Backed by leading investors and already generating revenue, the business is scaling quickly across multiple sectors—making this an opportunity to join at a pivotal stage and shape a fast-growing product. The Team & How You’ll Work You’ll collaborate closely with senior technical leadership and work alongside Product, Design, and AI specialists in a highly cross-functional environment. • ~80% hands-on development, ~20% architecture and system design, • Agile setup with 2-week sprints, standups, and retrospectives, • Strong engineering culture with dedicated time for technical debt What You’ll Do • Design and build AI-powered systems to solve complex problems, • Ensure privacy and security are embedded at every level, • Deliver scalable, maintainable, high-quality software, • Explore and implement new AI tools, frameworks, and models What We’re Looking For • Strong expertise in Python, • Experience building and deploying applications in production cloud environments, • Solid system design skills (scalability, security, performance), • Hands-on experience with AI-driven applications (e.g. LLMs, agents), • Ability to balance speed with long-term code quality Nice to Have • Experience with AWS, • Familiarity with multi-agent systems, • Exposure to enterprise compliance frameworks

Who we are DecisionForest is a Bronze-Tier Databricks C&SI Partner, specialising in modern and scalable Data & AI platforms. Mission As a Forward Deployed Engineer you will work directly with client teams to design, build and deploy production solutions on Databricks. You’ll help customers solve real business problems using the Databricks platform, including data engineering, Lakehouse architecture, Unity Catalog, platform governance, workflow orchestration, performance optimisation and AI/data product enablement. You will operate close to the customer. That means joining discovery sessions, understanding current-state systems, identifying implementation gaps, building technical artefacts, shipping code, documenting patterns and helping customers adopt Databricks technologies. Responsibilities • Embed with customer teams to deliver production Databricks solutions., • Build data pipelines using Databricks, PySpark, SQL, Delta Lake, and Databricks Workflows., • Design and implement Lakehouse architecture patterns across bronze, silver and gold layers., • Implement Unity Catalog structures, including catalogs, schemas, tables, volumes, external locations, permissions, lineage and governance patterns., • Support migration from legacy data platforms or fragmented warehouse environments., • Build reliable ingestion, transformation and serving layers for analytics, AI and operational use cases., • Deliver technical artefacts for customers, including notebooks, jobs, pipelines, deployment templates, reference architectures, documentation and handover materials., • Provide deployment support for Databricks in enterprise environments., • Diagnose and resolve performance, reliability, cost and data quality issues., • Work with customer stakeholders across data engineering, analytics, governance, security, architecture and leadership teams., • Translate ambiguous customer requirements into clear technical plans., • Identify repeatable implementation patterns and feed them back into DecisionForest delivery standards., • Support pre-sales and post-sales activity where deep Databricks expertise is required., • Represent DecisionForest as a specialist Databricks partner in customer environments. What you must bring • 4+ years of experience in data engineering, platform engineering, analytics engineering or technical consulting., • Demonstrable experience owning at least 2 end-to-end Databricks implementations in a production environment., • Strong production experience with PySpark and SQL., • Experience with Databricks Lakeflow, notebooks, repos, SQL Warehouses, and cluster/serverless compute patterns., • Solid understanding of distributed computing concepts (partitioning, shuffling, optimisation techniques)., • Practical experience with cloud data platforms on at least one major provider (ideally both Azure and AWS), including storage, networking and security basics., • Good knowledge of data warehousing and Lakehouse patterns., • Experience with CI/CD and modern SDLC (Git-based workflows, code reviews, deployment pipelines, infrastructure-as-code is a plus)., • Strong problem-solving skills and the ability to debug complex data issues across multiple systems (data quality, performance, reliability)., • Confident communicator, able to translate technical detail into business language for non-technical stakeholders., • Self-driven, curious and committed to continuous learning in data engineering, cloud and analytics., • Familiarity with data governance, security and compliance in regulated environments.

Endur Trading Business Analyst Location: London OR Manchester Industry: Energy & Commodities Salary: Pays up to £85,000 basic (DOE) + car allowance (£5,750). A sign-on bonus of up to £5,000 may be available. About the Role Our client is a global consulting and technology services organisation supporting major energy and commodities trading firms across the UK and Europe. They are expanding their trading technology capability and are hiring experienced Endur Trading Business Analysts to work on complex trading, risk, and ETRM transformation programmes. This role is focused on delivering real trading outcomes. You will work closely with front office, risk, back-office, and IT teams to optimise and enhance the Endur trading platform across the full trade lifecycle. What You’ll Be Doing • Leading business analysis activities across Endur-enabled trading initiatives., • Capturing, analysing, and documenting functional and non-functional requirements., • Configuring Endur base and reference data and identifying system improvements., • Supporting trade capture, confirmations, settlement, invoicing, and scheduling., • Troubleshooting issues across trading workflows and data integrity., • Running stakeholder workshops and user acceptance testing., • Producing clear reporting and insights for senior stakeholders., • Managing multiple workstreams and competing priorities simultaneously. Ideal Background • Strong experience delivering end-to-end projects in complex trading or financial environments., • Proven business analysis capability including problem definition, value drivers, and requirements capture., • Experience running workshops, UAT, and stakeholder sessions., • Confident stakeholder management across business and technology teams., • Experience working within Agile delivery environments. Energy Trading & Endur Experience • Hands-on experience working within energy trading markets, ideally UK & European Power, UK & European Gas, or environmental products., • Strong understanding of trading instruments including OTC forwards, swaps, options, and exchange-traded futures and options., • In-depth experience in one or more Endur functional areas including trade capture, market risk, back-office, accounting, EOD, or ETRM migrations., • Proven experience configuring OpenLink Endur (v18 or later)., • Strong knowledge of the full Endur trade lifecycle including confirmations, settlement, invoicing, and scheduling., • Solid understanding of P&L, MTM, financial risk, and settlements., • Experience integrating Endur with other trading and enterprise systems. Additional Experience • Strong organisational skills with the ability to manage multiple workstreams., • Experience delivering increasingly complex projects and services., • Exposure to cloud-based delivery environments such as AWS, Azure, or GCP., • Experience working with both Agile and Waterfall delivery methodologies. Who Should Apply This role suits experienced Endur Business Analysts who are comfortable operating close to the trading desk, understand energy trading workflows end to end, and want to work on high-impact ETRM programmes rather than support-only roles.

At Caspian One, we work with many of the worlds leading Investment Banks, Hedge Funds & FinTech's building cutting edge, Gen AI tools supporting Front-Office teams globally. Over the coming weeks & months, we will be building dedicated AI teams in front-office environments, ranging from 12-24 month initial contracts with the potential to be extended or to become permanent. If you are actively pursuing a move away from your current role, or you are tentatively exploring the market, I would like to hear from you. This is a really exciting time for a lot of our key clients in this space, and as the need for experienced AI Engineering contractors grows, we want you to be at the front of the queue to be seen by key decision makers building cutting-edge teams in top-tier financial organisations. Background I’m keen to speak with: • Contract AI / Machine Learning Engineers, • Experience in Front Office / Trading / Quants / Risk / Electronic Trading, • Background within Investment Banking, Capital Markets, Hedge Funds or Buy-Side, • Strong hands-on Python (and relevant ML / GenAI frameworks), • Experience with other relevant technologies (LangChain, LangGraph, Databricks etc), • Cloud technology experience (AWS, GCP, Azure), • UK-based or UK right-to-work contractors What to expect: • Contract opportunities only (inside & outside IR35 depending on client), • Projects focused on AI, ML, GenAI, analytics, optimisation & automation, • Tier-1 investment banks, buy-side firms, and market-leading financial institutions, • Roles released on short notice - hence proactive engagement Interested? If this aligns with your background and you’re open to future UK contract opportunities, I look forward to speaking with you!

!! IMMEDIATE JOINERS !! Senior Java Software Developer Location: Bournemouth / Glasgow Work Mode: On-site Job Type: Full-time The Role We are looking for a Java Full Stack Developer who A Java Developer (2-5 years experience) designs, codes, tests, and maintains scalable Java applications, collaborating with teams, debugging issues, and using frameworks like Spring/Hibernate, focusing on clean, efficient, object-oriented code, participating in the full SDLC. You will be a key player in our agile squad, responsible for the end-to-end delivery of scalable web applications. What You’ll Do (Responsibilities) • End-to-End Development: Design and develop high-volume, low-latency applications for mission-critical systems., • Back-End Excellence: Write clean, maintainable code using Java and the Spring Boot ecosystem., • Front-End Innovation: Build responsive, user-friendly UI components using React, Angular, or Vue.js., • Database Management: Design and optimize schemas for relational (PostgreSQL/MySQL) and NoSQL databases., • API Design: Build and consume secure RESTful APIs to integrate with internal and third-party services., • Collaboration: Participate in code reviews, sprint planning, and daily stand-ups to ensure high-quality software delivery., • Strong understanding of Object-Oriented Programming (OOP) principles. What We’re Looking For (Requirements) • Experience: [Number] years of professional experience in Java-based software development., • Java Knowledge: Hands on experience of Core Java, Multithreading, and Spring Framework (Boot, Security, Data JPA)., • Modern Web Stack: Proficiency in HTML5, CSS3, and JavaScript/TypeScript., • Cloud & DevOps: Familiarity with AWS, Azure, or GCP and containerization tools like Docker/Kubernetes., • Tools: Expert knowledge of Git, Maven/Gradle, and CI/CD pipelines (Jenkins/GitLab CI). Nice-to-Haves • Experience with Microservices architecture., • Knowledge of Kafka or RabbitMQ., • Relevant AWS or Java certifications.

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

About the Role We are hiring on behalf of a client for a VP of R&D to lead and scale engineering and product development across EMEA and APAC. This is a senior leadership role reporting directly to the CEO, with ownership over technical strategy, architecture, delivery, and team scaling in a fast-growing, enterprise SaaS environment focused on secure and compliant communications. About the Company Our client is a fast-growing SaaS company transforming enterprise communication by integrating consumer messaging platforms with enterprise-grade security and compliance. They are recognized as a Visionary in Gartner’s Magic Quadrant and are trusted by leading global institutions. Role Overview • Lead engineering and product development across EMEA and APAC, • Own delivery, architecture, and technical strategy, • Scale high-performing engineering teams, • Partner with global stakeholders across product, customer, and commercial teams, • Ensure compliance with enterprise-grade security and regulatory standards Key Responsibilities Technical Strategy & Architecture • Define and execute regional R&D roadmap aligned with global strategy, • Oversee system architecture for scalability, security, and reliability, • Drive engineering excellence across CI/CD, DevOps, SRE, and observability, • Lead AI-driven innovation initiatives Delivery & Execution • Own quarterly and annual engineering OKRs, • Ensure predictable release cycles and enterprise-grade SLAs, • Improve development velocity while maintaining compliance and quality Leadership & Talent • Build and scale engineering teams across Backend, Frontend, QA, and DevOps, • Develop senior leaders including Directors and Engineering Managers, • Drive hiring strategy across UK and EU markets, • Establish strong engineering culture and succession planning Cross-Functional Collaboration • Partner with Product, Customer Success, Security, and Sales Engineering teams, • Support enterprise deals requiring deep technical involvement, • Engage with strategic customers on architecture and roadmap discussions Governance & Compliance • Ensure alignment with data privacy and financial regulatory standards, • Strengthen SOC2, ISO, and enterprise security posture Requirements • 10–15+ years of engineering leadership experience, • 5+ years at VP or Director level, • Experience scaling B2B SaaS platforms in fintech, compliance-tech, communications, or cybersecurity, • Strong expertise in distributed systems and cloud-native architecture (AWS, Azure, or GCP), • Experience building and managing teams of 70 engineers, • Exposure to regulated industries (financial services preferred), • Experience operating across US, EMEA, and APAC regions Preferred Qualifications • Experience working across multiple time zones, • Background in fast-paced, high-growth SaaS environments, • Track record of driving operational and engineering improvements Role Details • Location: UK, Israel, France, Germany, Switzerland, Netherlands, Spain, • Work Setup: Remote, • Employment Type: Full-time Pro5 is a global platform helping thousands of vetted professionals get hired by top employers. See what others say on our public ___ and learn how we keep your data safe in our ___.

Principal Security Engineer Location: Remote UK/Euro Reporting line: Chief Risk Officer About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands-on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast-paced, and you'll be expected to own problems end-to-end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do • Implement and maintain security controls across multi-cloud environments (primarily AWS, with some Azure, GCP and AliCloud) and on-prem infrastructure, • Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical, • Design and operate key management and custody security controls such as HSMs, secrets management, and secure key handling for trading operations, • Harden CI/CD pipelines (GitLab) and secure the software delivery process, • Configure and operate corporate security tooling (endpoint protection, MDM/Jamf, DLP, identity management), • Respond to security incidents: triage, investigate, contain, remediate, • Conduct security assessments of infrastructure and applications, • Automate security operations: detection, alerting, and response, • Work with Infrastructure to embed security into cloud provisioning and system configuration What We're Looking For • 8+ years' hands-on experience in security engineering or security operations, • Strong, opinionated views on IAM (you've designed and implemented identity and access management across cloud environments and have a clear philosophy on how it should work), • Strong working knowledge of cloud security controls across multiple providers (AWS and Azure preferred), • Experience securing CI/CD platforms, GitLab preferred, • Familiarity with corporate IT security tooling (Jamf, endpoint protection, DLP, SSO/IdP), • Comfortable in Linux environments and scripting (Python, Bash, or similar), • Experience with infrastructure-as-code (Terraform, Pulumi etc.) is a plus, • Exposure to financial services, crypto, or other regulated environments is a plus but not required, • We value demonstrated skills and practical experience over certifications. What You Get • Direct ownership of security implementation, • A small, technical team where your work has immediate impact, • Exposure to low-latency trading infrastructure and the digital asset space

Partner with cloud security teams to implement robust security frameworks across AWS Azure GCP and hybrid infrastructures and integrate data defence principles into the broader security strategy. Experience with assessment development implementation optimization and documentation of a comprehensive

SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35. SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35 – Home based. SC Cleared DevOps Engineer - AWS – Home based.

Job Title: Cloud/Devops Engineer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. DevOps Core Skills and Requirements 1. Basic Linux Knowledge • Comfortable working in a Linux terminal (CLI) environment., • Able to perform basic file operations (create, copy, move, delete files/folders)., • Understand and manage file and directory permissions, ownership, and basic user management., • Use of common Linux utilities like grep, top, df, ps, and chmod. 2. Basic Networking Fundamentals • Understanding of IP addressing, subnetting, and what private/public IPs mean., • Knowledge of DNS (Domain Name System) and how name resolution works., • Familiarity with HTTP/HTTPS protocols, what ports are, and what firewalls do at a high level. 3. Scripting Basics • Ability to read and write basic shell scripts (Bash) to automate repetitive tasks., • Some hands-on experience or learning in Python for simple scripting or tool use. 4. Git Version Control • Comfortable using Git for source code management., • Understand how to clone repositories, commit changes, push and pull code, and create branches., • Familiar with GitHub 5. CI/CD Concepts • Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are., • Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced., • Understand how code goes from development to production in an automated way. 6. Container Awareness • Have heard of Docker and understand the basic purpose of containers (e.g., "run applications in isolated environments")., • Understand the difference between containers and virtual machines at a high level., • Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals • Awareness of cloud platforms like AWS and Azure, • Understand concepts like virtual machines, storage, and networking in the cloud., • Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are not mandatory, but having some exposure will be a plus: • Infrastructure as Code (IaC): Basic idea of tools like Terraform – used to define cloud infrastructure using code., • Monitoring and Logging: Awareness of tools like Prometheus (for monitoring) and Grafana (for dashboards)., • Basic YAML knowledge: Since tools like Kubernetes and GitHub Actions use YAML, familiarity helps. Soft Skills • Willingness to learn new tools and concepts., • Good problem-solving attitude., • Ability to follow documentation and troubleshoot issues., • Comfortable working in a team and asking questions when stuck.

🚀 We’re Hiring: Data & DevOps Engineer (Biotech) Help shape the future of immune therapies. A fast-growing biotech company is on a mission to tackle immune dysfunction — a root cause of many cancers, autoimmune conditions, and infectious diseases. By developing first-in-class antigen modulation technologies, the team is pioneering a new approach to controlling how the immune system recognises and targets cells. As the company enters its next phase of growth, we’re looking for a Data & DevOps Engineer to join the IT function and play a key role in building scalable, secure, and reproducible data systems that support cutting-edge science. 🔍 The Role This position sits at the intersection of IT, data, and scientific teams (including Bioinformatics). You’ll lead on designing and delivering modern data infrastructure and DevOps practices that enable high-quality, reproducible research and analytics. 🛠 What You’ll Be Doing • Design and maintain secure, scalable cloud infrastructure (AWS), • Build and optimise CI/CD pipelines for scientific workflows (e.g. Nextflow), • Implement containerisation (Docker) for reproducibility and traceability, • Develop infrastructure-as-code (e.g. CloudFormation), • Architect data pipelines and platforms for structured and unstructured data, • Integrate analytics tools (e.g. Power BI, Spotfire, Microsoft Fabric), • Enhance data governance, lineage, and auditability, • Collaborate closely with scientists and bioinformaticians, • Produce clear technical documentation, • Manage external vendors supporting cloud infrastructure, • Continuously improve systems and processes ✅ What We’re Looking For • Experience in DevOps, Platform Engineering, or similar within biotech, pharma, or life sciences, • Strong expertise in AWS, Docker, and CloudFormation, • Hands-on experience with Linux systems and CI/CD pipelines, • Experience designing data pipelines and ETL processes, • Understanding of data modelling and master data management, • Ability to collaborate effectively with scientific stakeholders ⭐ Nice to Have • Experience in regulated or research-driven environments (data governance, reproducibility), • Exposure to Microsoft Fabric, Azure data services, or modern BI tools, • Experience with AI services (e.g. Amazon Bedrock), • DevOps/security certifications, • API integration experience 🌱 Why Join? • Be part of a company driving a fundamental shift in disease treatment, • Work at the cutting edge of science, data, and engineering, • Collaborate with world-class researchers and technologists

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

As an AWS Connect Engineer, youll play a key role in designing and evolving a cutting-edge cloud contact centre, leveraging the latest capabilities across the AWS ecosystem. Whats on offer Salary up to £85,000 Comprehensive benefits package Hybrid working 3 days per week on-site in Nottingham

We are seeking a hands-on AWS Connect Engineer to join a Customer Experience Technology team supporting the evolution of a modern cloud contact centre platform within a re.

AWS Connect Engineer Cloud Contact Centre ?? Nottingham (Hybrid 3 days onsite) Permanent Competitive salary + package Im working with a global consultancy who are looking for an experienced AWS Connect Engineer to join their Customer Experience technology team, supporting the evolution of a cloud-based contact centre platform within a regulated environment. This is a hands-on role where youll play a key part in transforming customer interactions through modern cloud and AI-driven solutions. What youll be doing: Designing and building Amazon Connect contact flows and routing logic Delivering AI-driven features including IVR, agent assist, and sentiment analysis Integrating AWS Connect with backend systems (CRM, core platforms) using Lambda and APIs Developing secure, compliant contact centre solutions aligned to regulatory standards Building real-time and historical reporting across customer interactions Supporting outbound dialling campaigns within regulatory frameworks Working closely with security, risk, and compliance teams Managing infrastructure through Terraform or CloudFormation Contributing to resilience planning (DR/BCP) and platform optimisation What theyre looking for: Strong hands-on experience with Amazon Connect Experience working within regulated environments (financial services, fintech, etc.) Solid understanding of contact centre platforms (IVR, routing, workflows) Experience integrating systems using AWS Lambda and REST APIs Proficiency in Python or Node.js Knowledge of security and compliance (GDPR, PCI-DSS, FCA regulations) Experience with Contact Lens and analytics is a plus Familiarity with Infrastructure as Code (Terraform or CloudFormation) Why consider this role? Work on a high-impact, customer-facing platform used at scale Be part of a modern cloud transformation programme Exposure to AI-driven customer experience technologies Collaborative environment with strong engineering and delivery teams If youre an AWS Connect Engineer looking to work on complex, real-world customer platforms, please apply with your latest CV. TPBN1_UKTJ

To meet our ambitious performance and scalability goals, we are looking for a Systems Performance Engineer with expertise in JVM tuning, distributed systems optimisation, and AWS infrastructure performance. Exposure to distributed systems concepts or cloud environments As a System Performance Engin

Candidates should have proven technical leadership experience, exceptional programming skills (particularly in Java), and a strong understanding of cloud-based development like AWS.

A leading technology firm is seeking a Senior Java Developer to design and deploy cloud-native applications on AWS in a hybrid work environment. Key qualifications include strong Java skills, AWS deployment experience, and hands-on experience with Spring Boot and microservices architecture.

Senior Java Developer – AWS Cloud Platform. We are seeking a Senior Software Engineer to design, develop, and deploy scalable, secure, and high-performing applications on the AWS Cloud platform. Design, develop, and deploy cloud-native applications on AWS, leveraging services such as EC2, Lambda,

A leading financial services firm in Nottingham seeks a Senior Cloud DevOps Engineer to enhance its AWS cloud infrastructure.

A technology consulting firm is seeking an experienced Data Modeler to work on AWS Cloud Datawarehouse projects in Nottingham.

A leading financial services company in Nottingham is seeking an experienced Senior Cloud DevOps Engineer to join the task of developing their AWS cloud infrastructure.The position involves designing and maintaining Core Infrastructure platforms using various programming languages and DevOps tools.S

This opportunity is for those that are immediately available for to interview & start. Associate Consultant - Software Engineer Do you have an inquisitive mindset, enjoy problem solving, and have an interest in tech? Corecom Tech Academy provides you with the opportunity to learn everything you need to build a successful career in IT, across a range of roles, without any previous experience or a specific degree. In fact - if you don't have a degree, we definitely want to hear from you! Why Choose Corecom Tech Academy We are an inclusive and diverse technology academy committed to creating equitable opportunities for those looking to work in tech. Our academy pays a competitive salary, above the National Living Wage from day one while you train, before finding the ideal client project for you to work on using the skills you've gained. About the Client Our client, Altia, are a leading provider of specialist intelligence and investigation software, supporting organisations across government, law enforcement and the private sector. Based in Nottingham with a growing global presence, Altia design and deliver secure, cloud-based platforms that help teams manage complex investigations, analyse data, and turn intelligence into actionable insight. About The Role It all starts with our introductory training courses, covering everything you need to know to get started in the world of consulting. Our in-depth training is full time and is delivered on a hybrid learning basis (classroom & and remote). You'll learn a lot quite quickly - it will be fast-paced, but enjoyable and highly engaging! After the training period you'll have the opportunity to gain industry experience during deployment at Altia and working on their projects. For this specific role you will: - Work across a variety of customer facing projects and problems to create, deploy and maintain their customers Software platforms - Be able to write code that can contribute to key client deliverables - Use a variety of software languages. Engineers are versatile and can code using many languages. You might specialise in 1 or 2 or might want to learn many more on your journey through the business. Typically, using: Azure, .NET and C# You'll initially be on-site for 3-4 days a week at Altia's Nottingham offices whilst you settle in, moving to 2-days a week on site once established in role. What Does Our Academy Offer? - A route into the industry as a Associate Consultant - A structured career path and ongoing progression opportunities within the first years of employment Training in a range of technologies and tools vital in the tech industry - Agile / Scrum, databases, SQL, websites, .Net, C#, Azure, Web Services / APIs, programming, software testing - A role with one of our industry leading clients on one or more projects so you can explore where you want your career to go - Ongoing learning and development opportunities, including on the job training and ongoing support from our experienced trainers and consultants - Access to a range of certifications covering various roles and technologies - including AWS, Azure, Scrum and more About You - A passion for technology and a willingness to learn - A strong work ethic - you're up for the challenge and ready to work hard for it - Loves working in teams - Strong communication skills - Good organisational skills, both personally and as part of a team - You have a degree, but it doesn't have to be in CompSci or a STEM degree - You don't have a degree, but you have some recent work experience or you've been doing some upskilling in technology recently What's In It For You? Competitive salary - above the UK Living Wage as part of our commitment to the Living Wage Foundation 25 days holidays, plus bank holidays. 5% matched employer pension contributions. Access to Mintago, our financial wellbeing partner - Connect with a personal financial advisor for support with planning, mortgages, pension, and more! Virtual GP and Online Prescriptions - Say goodbye to long NHS wait times! (Your partners/kids can also access this). Employee Assistance Programming - Including 6 counselling sessions per life event with a BACP-accredited counsellor. Cycle to work scheme - Purchase a bike through Bike2Work and spread the purchase across 12 months. Retail discounts - Save at 200+ UK brands, including supermarkets, cinemas, and restaurants. ... and more! What Happens Next? Apply - Submit your most recent CV below. You'll be asked to answer a couple of our screening questions. Short Video Interview - We'll invite you to a 30-minute Teams video call to learn about you, discuss the role, and ask a few competency-based questions on problem-solving and time management. Technical Aptitude Test - You'll be sent a short, online technical aptitude test. In-Person Interview - It's your time to shine! Successful candidates will be invited to our in-person assessment centre with the client. Offer

Lead QA Engineer Location: Nottingham, 2 days a week in the office Salary: up to £60k depending on experience We’re looking for a passionate and detail-driven QA professional who wants to take ownership of quality, improve how software is built, and play a key role in shaping how products are delivered to users at scale. This is a hands-on technical leadership role where you’ll work closely with developers, business analysts, and cloud engineering teams to strengthen testing practices, reduce defects in production, and continuously improve the delivery pipeline. You’ll be central to defining what “good quality” looks like and ensuring it is consistently achieved. You’ll thrive in this role if you enjoy getting into the detail of how systems work, identifying issues before they reach customers, and building confidence in every release that goes out the door. What You’ll Be Doing You’ll take ownership of quality assurance across the development lifecycle, working closely with stakeholders to shape clear, testable requirements and ensure defects are well understood, documented, and resolved effectively. You’ll design, maintain, and improve automated test coverage using modern testing frameworks, while also contributing to broader testing strategy, including API and performance testing. You’ll work within CI/CD pipelines to help ensure smooth, reliable, and efficient releases. You’ll also play a key role in release readiness, collaborating with engineering and product teams to ensure every deployment meets agreed quality standards and is delivered with confidence. Alongside hands-on testing, you’ll help define QA standards across the team, contribute to continuous improvement initiatives, and provide meaningful reporting on quality metrics and release efficiency. What You Bring You’ll bring strong hands-on experience in modern QA engineering, along with a mindset focused on prevention rather than just detection of issues. We’re looking for someone comfortable working across: TypeScript and modern browser debugging tools Test automation frameworks such as Cypress, Playwright, or Selenium API testing tools such as Postman or Bruno Git-based workflows and CI/CD environments (including Bitbucket) Performance and load testing tools such as k6 or JMeter You’ll also be confident working in Agile environments, collaborating with cross-functional teams, and clearly communicating complex technical issues in a simple, structured way. A strong understanding of SQL, AWS (particularly monitoring tools such as CloudWatch), and front-end technologies such as CSS selectors will be valuable. Experience with Vue.js is also beneficial. You’ll ideally have some exposure to test case management tools and release management practices, along with an interest in improving automation, efficiency, and delivery quality. Leadership or mentoring experience within a small team will be an advantage, as this role has a natural progression into broader QA ownership and influence. The Kind of Person Who Thrives Here You’re someone who notices the small details others miss. You enjoy understanding how systems behave under pressure, and you take pride in improving both product quality and engineering processes. You’re proactive, collaborative, and comfortable working across technical and non-technical teams to get things done properly

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities * Design, develop, and deploy machine learning models and pipelines in production environments * Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions * Optimize model performance, scalability, and reliability * Build and maintain data pipelines and feature engineering workflows * Monitor and retrain models to ensure continued performance over time * Implement best practices for version control, testing, and CI/CD in ML systems * Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience * Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) * Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) * Solid understanding of machine learning algorithms, data structures, and software engineering principles * Experience with data pipelines, APIs, and microservices architecture * Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes * Strong problem-solving skills and attention to detail Desirable Skills * Experience with big data technologies (e.g., Spark, Hadoop) * Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) * Experience working with NLP, computer vision, or recommendation systems * Understanding of data governance and security best practices Qualifications * Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer * Competitive rate * Flexible working arrangements (hybrid/remote options) * Collaborative and innovative work environment * Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role

Machine Learning Engineer - Contract Location: Nottingham, UK (Hybrid) Salary: £500 – £600 p/d (depending on experience) About the Role We are seeking a skilled and motivated Machine Learning Engineer to join our growing team in Nottingham. You will be responsible for designing, building, and deploying scalable machine learning models that drive data-driven decision-making across the business. This role bridges the gap between data science and software engineering, turning prototypes into production-ready systems. Key Responsibilities Design, develop, and deploy machine learning models and pipelines in production environments Collaborate with data scientists, software engineers, and stakeholders to translate business requirements into ML solutions Optimize model performance, scalability, and reliability Build and maintain data pipelines and feature engineering workflows Monitor and retrain models to ensure continued performance over time Implement best practices for version control, testing, and CI/CD in ML systems Stay up to date with the latest advancements in machine learning and AI technologies Required Skills & Experience Strong programming skills in Python (e.g., TensorFlow, PyTorch, Scikit-learn) Experience deploying ML models using cloud platforms (AWS, Azure, or GCP) Solid understanding of machine learning algorithms, data structures, and software engineering principles Experience with data pipelines, APIs, and microservices architecture Familiarity with containerization tools such as Docker and orchestration tools like Kubernetes Strong problem-solving skills and attention to detail Desirable Skills Experience with big data technologies (e.g., Spark, Hadoop) Knowledge of MLOps practices and tools (e.g., MLflow, Kubeflow) Experience working with NLP, computer vision, or recommendation systems Understanding of data governance and security best practices Qualifications Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field (or equivalent experience) What We Offer Competitive rate Flexible working arrangements (hybrid/remote options) Collaborative and innovative work environment Access to cutting-edge tools and technologies How to Apply Please submit your CV and a brief cover letter outlining your experience and interest in the role. TPBN1_UKTJ

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people to realize their financial goals and help them save time and money. We invest in people and new advanced technologies to unlock the power of data. As a FTSE 100 Index company listed on the London Stock Exchange (EXPN), we have a team of 22,500 people across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at experianplc.com. Internal Grade D / EB8 Job Description Experian Global Security Office are looking for a Senior Cloud Data Security Engineer. You will be a key part of our Data Security Posture Management (DSPM) program. Helping to strengthen our security posture, safeguard sensitive data, and ensure compliance with industry regulations. As a Sr. Cloud Data Security Engineer, you will play a key role in designing, implementing, and optimizing our data security strategies. You will work closely with security architects and IT teams to develop risk mitigation plans, enhance access control measures, and drive data protection initiatives that support our DSPM program. This a Hybrid, Nottingham or London based role (40% in the office) reporting to Director of Cloud Security. Main Responsibilities: Lead the implementation of security measures within our DSPM program to enhance data visibility and protection. Develop enforceable data governance controls including data loss prevention (DLP), encryption, and access controls in the cloud. Participate in security audits, and monitoring to identify potential risks. Translate threat intelligence into actionable engineering requirements, ensuring prioritized risks are reflected in the backlog and data defense strategies. Partner with cloud security teams to implement robust security frameworks across AWS, Azure, GCP, and hybrid infrastructures and integrate data defence principles into the broader security strategy. Drive the identification and documentation of sensitive data flows, holding business units and data owners accountable for classification and access controls. Qualifications Experience in cybersecurity, data security, or IT infrastructure. Experience with cloud platforms such as Amazon Web Services (AWS), Azure, and/or Google Cloud Platform (GCP). DSPM, data encryption, access control, and security monitoring tools. Industry Cloud Certifications (Azure/AWS/GCP). Familiarity with relevant data protection regulations, such as GDPR, CCPA, etc. Experience with deployment orchestration, automation, and security configuration management (Jenkins, Git, CloudFormation, Terraform, Ansible) Experience with assessment, development, implementation, optimization, and documentation of a comprehensive and broad set of security technologies and processes (secure software development (Application Security), data protection, cryptography, key management, identity and access management (IAM), network security) within SaaS, IaaS, PaaS, and other cloud environments. Experience owning and delivering security outcomes, not just contribute to programs Certifications like CISSP, CEH, CISM, or equivalent. Additional Information Benefits package includes: Great compensation package and discretionary bonus plan Core benefits include pension, bupa healthcare, sharesave scheme and more 25 days annual leave with 8 bank holidays and 3 volunteering days. You can purchase additional annual leave. Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity. Experian Careers - Creating a better tomorrow together Find out what its like to work for Experian by clicking here TPBN1_UKTJ

We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowfl